Triple
T38235982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Designer Outlet Neumünster |
E1013620
|
entity |
| Predicate | typicalTenantCategory |
—
|
GENERATED |
| Object | fashion |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalTenantCategory Context triple: [Designer Outlet Neumünster, typicalTenantCategory, fashion]
-
A.
tenantType
chosen
Indicates the classification or category of a tenant in a tenancy or rental relationship.
-
B.
mainTenant
Indicates that the subject is the primary tenant responsible for a property or rental agreement, as opposed to a subtenant or secondary occupant.
-
C.
originalTenantIndustry
Indicates the industry or business sector in which the original tenant operates or is classified.
-
D.
tenantsEndUse
Indicates that the specified end use or consumption activity is carried out by tenants rather than by the property owner or other parties.
-
E.
notableTenant
Indicates that an entity is or has been a significant or noteworthy occupant or renter of a particular place or property.
- F. None of above.
Provenance (1 batch)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76dd72a248190a5fe18db2bd1eb15 |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4:30 p.m.